PaGMO
1.1.5
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A static Travelling Salesman Problem. More...
#include <tsp_vrplc.h>
Public Member Functions | |
tsp_vrplc () | |
Default constructor. More... | |
tsp_vrplc (const std::vector< std::vector< double > > &, const base_tsp::encoding_type &=FULL, const double &=1) | |
Constructor from weight matrix, encoding and capacity. More... | |
base_ptr | clone () const |
Copy constructor for polymorphic objects (deep copy) More... | |
const std::vector< std::vector< double > > & | get_weights () const |
Getter for m_weights. More... | |
const double & | get_capacity () const |
Getter for m_capacity. More... | |
Implementation of virtual methods | |
std::string | get_name () const |
Returns the problem name. | |
std::string | human_readable_extra () const |
Extra human readable info for the problem. More... | |
double | distance (decision_vector::size_type, decision_vector::size_type) const |
Definition of the distance function. | |
std::vector< std::vector< double > > | return_tours (const decision_vector &x) const |
Returns the tours. More... | |
Public Member Functions inherited from pagmo::problem::base_tsp | |
base_tsp (int n_cities, int nc, int nic, encoding_type=CITIES) | |
Constructor from dimensins and encoding. More... | |
encoding_type | get_encoding () const |
Getter for m_encoding. More... | |
decision_vector::size_type | get_n_cities () const |
Getter for m_n_cities. More... | |
pagmo::decision_vector | full2cities (const pagmo::decision_vector &) const |
From FULL to CITIES encoding. More... | |
pagmo::decision_vector | cities2full (const pagmo::decision_vector &) const |
From CITIES to FULL encoding. More... | |
pagmo::decision_vector | randomkeys2cities (const pagmo::decision_vector &) const |
From RANDOMKEYS to CITIES encoding. More... | |
pagmo::decision_vector | cities2randomkeys (const pagmo::decision_vector &, const pagmo::decision_vector &) const |
From CITIES to RANDOMKEYS encoding. More... | |
Public Member Functions inherited from pagmo::problem::base | |
base (int, int=0, int=1, int=0, int=0, const double &=0) | |
Constructor from global dimension, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
base (int, int, int, int, int, const std::vector< double > &) | |
Constructor from global dimension, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
base (const double &, const double &, int, int=0, int=1, int=0, int=0, const double &=0) | |
Constructor from values for lower and upper bounds, global dimension, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
base (const decision_vector &, const decision_vector &, int=0, int=1, int=0, int=0, const double &=0) | |
Constructor from upper/lower bounds, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
template<std::size_t N> | |
base (const double(&v1)[N], const double(&v2)[N], int ni=0, int nf=1, int nc=0, int nic=0, const double &c_tol=0) | |
Constructor from raw arrays, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
template<class Iterator1 , class Iterator2 > | |
base (Iterator1 start1, Iterator1 end1, Iterator2 start2, Iterator2 end2, int ni=0, int nf=1, int nc=0, int nic=0, const double &c_tol=0) | |
Constructor from iterators, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
virtual | ~base () |
Trivial destructor. More... | |
std::string | human_readable () const |
Return human readable representation of the problem. More... | |
bool | operator== (const base &) const |
Equality operator. More... | |
bool | operator!= (const base &) const |
Inequality operator. More... | |
bool | is_compatible (const base &) const |
Compatibility operator. More... | |
bool | compare_x (const decision_vector &, const decision_vector &) const |
Compare decision vectors. More... | |
bool | verify_x (const decision_vector &) const |
Verify compatibility of decision vector x with problem. More... | |
bool | compare_fc (const fitness_vector &, const constraint_vector &, const fitness_vector &, const constraint_vector &) const |
Simultaneous fitness-constraint comparison. More... | |
virtual void | pre_evolution (population &) const |
Pre-evolution hook. More... | |
virtual void | post_evolution (population &) const |
Post-evolution hook. More... | |
virtual void | set_sparsity (int &lenG, std::vector< int > &iGfun, std::vector< int > &jGvar) const |
Sets the sparsity pattern of the gradient. More... | |
const decision_vector & | get_lb () const |
Lower bounds getter. More... | |
const decision_vector & | get_ub () const |
Upper bounds getter. More... | |
void | set_bounds (const decision_vector &, const decision_vector &) |
Bounds setter from pagmo::decision_vector. More... | |
template<class Iterator1 , class Iterator2 > | |
void | set_bounds (Iterator1 start1, Iterator1 end1, Iterator2 start2, Iterator2 end2) |
Bounds setter from iterators. More... | |
template<std::size_t N> | |
void | set_bounds (const double(&v1)[N], const double(&v2)[N]) |
Bounds setter from raw arrays. More... | |
void | set_bounds (const double &, const double &) |
Set bounds to specified values. More... | |
void | set_bounds (int, const double &, const double &) |
Set bounds to specified values. More... | |
void | set_lb (const decision_vector &) |
Set lower bounds from pagmo::decision_vector. More... | |
void | set_lb (int, const double &) |
Set specific lower bound to value. More... | |
void | set_lb (const double &) |
Set all lower bounds to value. More... | |
template<class Iterator > | |
void | set_lb (Iterator start, Iterator end) |
Lower bounds setter from iterators. More... | |
template<std::size_t N> | |
void | set_lb (const double(&v)[N]) |
Lower bounds setter from raw array. More... | |
void | set_ub (const decision_vector &) |
Set upper bounds from pagmo::decision_vector. More... | |
void | set_ub (int, const double &) |
Set specific upper bound to value. More... | |
void | set_ub (const double &) |
Set all upper bounds to value. More... | |
template<class Iterator > | |
void | set_ub (Iterator start, Iterator end) |
Upper bounds setter from iterators. More... | |
template<std::size_t N> | |
void | set_ub (const double(&v)[N]) |
Upper bounds setter from raw array. More... | |
unsigned int | get_fevals () const |
Return number of function evaluations. More... | |
unsigned int | get_cevals () const |
Return number of constraints function evaluations. More... | |
size_type | get_dimension () const |
Return global dimension. More... | |
size_type | get_i_dimension () const |
Return integer dimension. More... | |
f_size_type | get_f_dimension () const |
Return fitness dimension. More... | |
c_size_type | get_c_dimension () const |
Return global constraints dimension. More... | |
c_size_type | get_ic_dimension () const |
Return inequality constraints dimension. More... | |
const std::vector< double > & | get_c_tol () const |
Return constraints tolerance. More... | |
double | get_diameter () const |
Get the diameter of the problem. More... | |
constraint_vector | compute_constraints (const decision_vector &) const |
Compute constraints and return constraint vector. More... | |
void | compute_constraints (constraint_vector &, const decision_vector &) const |
Compute constraints and write them into contraint vector. More... | |
bool | compare_constraints (const constraint_vector &, const constraint_vector &) const |
Compare constraint vectors. More... | |
bool | test_constraint (const constraint_vector &, const c_size_type &) const |
Test i-th constraint of c (using tolerance information). More... | |
bool | feasibility_x (const decision_vector &) const |
Test feasibility of decision vector. More... | |
bool | feasibility_c (const constraint_vector &) const |
Test feasibility of constraint vector. More... | |
fitness_vector | objfun (const decision_vector &) const |
Return fitness of pagmo::decision_vector. More... | |
void | objfun (fitness_vector &, const decision_vector &) const |
Write fitness of pagmo::decision_vector into pagmo::fitness_vector. More... | |
bool | compare_fitness (const fitness_vector &, const fitness_vector &) const |
Compare fitness vectors. More... | |
void | reset_caches () const |
Reset internal caches. More... | |
const std::vector< constraint_vector > & | get_best_c (void) const |
Get the best known constraint vector. More... | |
const std::vector< decision_vector > & | get_best_x (void) const |
Get the best known decision vector. More... | |
const std::vector< fitness_vector > & | get_best_f (void) const |
Get the best known fitness vector. More... | |
void | set_best_x (const std::vector< decision_vector > &) |
Sets the best known decision vectors. More... | |
Friends | |
class | boost::serialization::access |
Additional Inherited Members | |
Public Types inherited from pagmo::problem::base_tsp | |
enum | encoding_type { RANDOMKEYS = 0, FULL = 1, CITIES = 2 } |
Mechanism used to encode the sequence of vertices to be visited. More... | |
Public Types inherited from pagmo::problem::base | |
typedef decision_vector::size_type | size_type |
Problem's size type: the same as pagmo::decision_vector's size type. | |
typedef fitness_vector::size_type | f_size_type |
Fitness' size type: the same as pagmo::fitness_vector's size type. | |
typedef constraint_vector::size_type | c_size_type |
Constraints' size type: the same as pagmo::constraint_vector's size type. | |
Static Public Attributes inherited from pagmo::problem::base | |
static const std::size_t | cache_capacity = 5 |
Capacity of the internal caches. | |
Protected Member Functions inherited from pagmo::problem::base | |
virtual bool | equality_operator_extra (const base &) const |
Extra requirements for equality. More... | |
virtual bool | compare_fc_impl (const fitness_vector &, const constraint_vector &, const fitness_vector &, const constraint_vector &) const |
Implementation of simultaneous fitness-constraint comparison. More... | |
void | estimate_sparsity (const decision_vector &, int &lenG, std::vector< int > &iGfun, std::vector< int > &jGvar) const |
Heuristics to estimate the sparsity pattern of the problem. More... | |
void | estimate_sparsity (int &lenG, std::vector< int > &iGfun, std::vector< int > &jGvar) const |
Heuristics to estimate the sparsity pattern of the problem. More... | |
virtual bool | compare_constraints_impl (const constraint_vector &, const constraint_vector &) const |
Implementation of constraint vector comparison. More... | |
virtual bool | compare_fitness_impl (const fitness_vector &, const fitness_vector &) const |
Implementation of fitness vectors comparison. More... | |
A static Travelling Salesman Problem.
This is a class representing the classic variant of the Travelling Salesman Problem. The distance between cities is defined by a constant weight matrix, the objective is to visit all cities exactly once forming the shortest possible tour.
Definition at line 47 of file tsp_vrplc.h.
pagmo::problem::tsp_vrplc::tsp_vrplc | ( | ) |
Default constructor.
This constructs a 3-cities symmetric problem (naive TSP) with weight matrix [[0,1,1][1,0,1][1,1,0]] and RANDOMKEYS encoding
Definition at line 35 of file tsp_vrplc.cpp.
pagmo::problem::tsp_vrplc::tsp_vrplc | ( | const std::vector< std::vector< double > > & | weights, |
const base_tsp::encoding_type & | encoding = FULL , |
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const double & | capacity = 1 |
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Constructor from weight matrix, encoding and capacity.
Constructs a TSP with the input weight matrix and the selected encoding
[in] | weights | an std::vector of std::vector representing a square matrix. |
[in] | encoding | a pagmo::problem::tsp::encoding representing the chosen encoding |
[in] | capacity | maximum vehicle capacity |
Definition at line 54 of file tsp_vrplc.cpp.
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virtual |
Copy constructor for polymorphic objects (deep copy)
Clone method.
Implements pagmo::problem::base.
Definition at line 69 of file tsp_vrplc.cpp.
const double & pagmo::problem::tsp_vrplc::get_capacity | ( | ) | const |
const std::vector< std::vector< double > > & pagmo::problem::tsp_vrplc::get_weights | ( | ) | const |
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virtual |
Extra human readable info for the problem.
Reimplemented from pagmo::problem::base.
Definition at line 302 of file tsp_vrplc.cpp.
std::vector< std::vector< double > > pagmo::problem::tsp_vrplc::return_tours | ( | const decision_vector & | x | ) | const |
Returns the tours.
This function takes an Hamiltonian path and brakes it down in the sub-tours
[in] | x | a tour in the CITIES encoding |
Definition at line 169 of file tsp_vrplc.cpp.